iPhone 12 Pro Max
Geekbench AI Score
1783
Single Precision Score
2008
Half Precision Score
1866
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
344
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1538
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9555
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8432
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
91% |
587
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
2749
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4319
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5472
42.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4644
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12787
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13431
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12699
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1395
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
98% |
252
4.35 IPS |
